The next generation of analytical tools provides transparency and visibility into the complex nature of the modern pharma supply chain and services that facilitate proactive responsiveness. Pharma manufacturers and logistics providers today live in an on-demand world. As a result, they need to be able to understand and use tools easily. Ada Palmadottir, a Business Development Director at Controlant, says that the insights available today allow business professionals to detect problems before they occur and to respond appropriately. By identifying all variables in the chain through a control tower, understanding their impact, and turning knowledge into action, supply chain leads can build responsive, collaborative supply chains that are safer and more efficient for everyone.
‘Digital Transformation: The Modern Pharmaceutical Control Tower’
Additionally, the global nature of today’s supply chain has resulted in longer and more variable lead times. The industry has a greater number of suppliers, partners, carriers, countries, customers, languages, and logistics channels to work with than ever before, as well as increasing costs from APIs, carriers, and labour. Legacy systems are unable to deliver crucial real-time information that allows organisations to respond quickly to changing patient needs, potentially delayed deliveries, or quality issue prevention. This is where a
comprehensive control tower can help – by integrating multiple systems that give pharmaceutical leaders descriptive, preventive, and prescriptive analytics to improve decision making.
Visibility is Necessary, but it is not Sufficient
Pharma manufacturers utilise ERP systems, quality management systems, and other digital tools to connect their customers and supply chain. Yet, while businesses often feel that they are drowning in data, they are at the same time having trouble finding insights. Poor data control is responsible for significant supply chain issues, given the silos that often exist, the many points along the supply chain, and the potential for error. These issues prevent companies from making their data work for them to create efficiency and reduce costs.
Often, companies find themselves responding to today’s crisis at the risk of making longer-term decisions, as they lack data that works for them. The value of data does not lie in its quantity but in what can be done with it. Utilising the right tools and technology to gain understanding will enable control. Control facilitates improvement, and a focus on continual improvement will identify new opportunities
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